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Unit 4: Data and Analysis

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Question 1 of 20 0% read

1. What is the ultimate goal of analyzing data in data science?

A To create colourful charts.
B To make better decisions.
C To collect as much data as possible.
D To write long reports.

2. What does data collection involve?

A Presenting data in charts
B Gathering raw data from sources
C Deleting data
D Printing reports

3. Which step converts raw data into useful information?

A Data cleaning
B Data analysis
C Data storage
D Data collection

4. What does a pie chart mainly show?

A Exact values
B Parts of a whole
C Trends
D Relationships

5. What does qualitative data describe?

A Numbers only
B Measurements
C Qualities or characteristics
D Calculations

6. Which software is commonly used for basic data visualization?

A Spreadsheet software
B Operating system
C Antivirus software
D Compiler

7. Which chart is commonly used to compare categories?

A Line chart
B Bar chart
C Scatter plot
D Histogram

8. Which of these is a common type of chart used for data visualization?

A A text document.
B An audio file.
C A computer program.
D A bar chart.

9. What is the final stage of the data science life cycle?

A Data collection
B Data cleaning
C Decision making or deployment
D Data visualization

10. What does a bar chart display?

A Trends over time
B Categories and values
C Geographic data
D Random data

11. Which visualization is best for showing frequency distribution?

A Histogram
B Pie chart
C Line chart
D Map

12. What is the main goal of data analysis?

A To design hardware
B To find patterns and insights
C To type documents
D To send emails

13. Which stage involves removing errors and inconsistencies from data?

A Data collection
B Data cleaning
C Data visualization
D Data storage

14. Which of the following is an example of data?

A Student marks list
B Final report
C Decision
D Conclusion

15. What kind of chart uses dots to show data points?

A Bar chart
B Line chart
C Scatter plot
D Pie chart

16. What does 'data' mean in the context of data science?

A Only pictures and videos.
B A collection of facts, such as numbers, words, or measurements.
C Only the software on a computer.
D The physical parts of a computer like the mouse and keyboard.

17. Why is data visualization important?

A It increases storage size
B It makes data easier to understand
C It deletes duplicate data
D It hides information

18. What is the purpose of decision making in data science?

A To collect more data
B To take actions based on insights
C To clean data
D To visualize data

19. What is Data Science?

A The art of drawing pictures on a computer.
B The process of building computer hardware.
C The study of data to find useful information and patterns.
D The process of creating animations and games.

20. Which skill is essential for a data scientist?

A Drawing skills
B Statistical analysis
C Hardware repair
D Typing speed

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